Survival Analysis in R for Public Health

Greetings and welcome to R for Public Health Survival Analysis! This one will demonstrate how to conduct a survival analysis, often known as a "time to event" study, and define terms like "hazard" and "censoring," which have particular implications in this context. You'll discover how to create a data set from scratch, import it into R, perform necessary descriptive analysis to understand the characteristics and peculiarities of the data, move from Kaplan-Meier plots to multiple Cox regression, and more using the well-known and entirely free software R.

You'll learn how to investigate the factors that predict the mortality of heart failure patients who are admitted to the hospital using data simulating actual, messy patient-level data in Survival Analysis in R for Public Health course. You'll learn how to evaluate model assumptions, fit the model to the data, and use a few easy workarounds for typical issues that real public health data commonly have. To ensure you comprehend the material, there will be brief tests on the videos and the R exercises with immediate feedback.

Although some equations are provided to help with understanding, this is not one of those courses that requires you to have a degree in mathematics to follow it. Basic numeracy and experience with graphical and tabular methods of results presentation are prerequisites.

What you will learn

• Run Cox regression and Kaplan-Meier graphs in R, then analyze the results.
• As a prerequisite for more complex research, describe a data set from scratch using descriptive statistics and basic graphical techniques.
• Describe and contrast a few typical methods for selecting a multiple regression model.

Skill you will gain

• Recognize typical methods for selecting which predictors to include in a regression model.
• Run R to compute and understand Kaplan-Meier curves.
• Create a R Cox regression model.

Instructor: Alex Bottle

Offered by: Imperial College London

Coursera rating: 4.5/5.0, 281 ratings

Enroll here: https://www.coursera.org/learn/survival-analysis-r-public-health